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Which of the following benefits is provided by the array functions from Spark SQL?
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KKeng
A
An ability to work with data in a variety of types at once
B
An ability to work with data within certain partitions and windows
C
An ability to work with time-related data in specified intervals
D
An ability to work with complex, nested data ingested from JSON files
E
An ability to work with an array of tables for procedural automation
Explanation:
Array functions in Spark SQL allow you to work with complex, nested data ingested from JSON files. These functions can be used to extract data from nested structures, manipulate data within nested structures, and aggregate data within nested structures.
Why other options are incorrect:
- Option A: Array functions do not allow you to work with data in a variety of types at once.
- Option B: Array functions do not allow you to work with data within certain partitions and windows.
- Option C: Array functions do not allow you to work with time-related data in specified intervals.
- Option E: Array functions do not allow you to work with an array of tables for procedural automation.
Therefore, the only benefit provided by the array functions from Spark SQL is the ability to work with complex, nested data ingested from JSON files.
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